Winter Semester 2009
IMSE 351
Data Structures and Algorithm Analysis
Description Survey of object-oriented design, programming and algorithm analysis techniques;
survey of data structures such as lists, stacks, queues, heaps, trees, and graphs. A “neutral”
programming language will be used, with occasional reference to C++.
Objectives:
1. Learn how to analyze the efficiency and running speed of algorithms.
2. Understand concepts pertaining to and usage of various data structures.
3. Study a wide variety of algorithms analytically.
Required text:
Cormen, Thomas H., Charles E. Leiserson, and Ronald L. Rivest. 2003. Introduction to
Algorithms, 2nd edition. Cambridge, Massachusetts: The MIT Press.
Recommended references:
Dale, Nell. 2003. C++ Plus Data Structures, 3rd ed. Sudbury, Massachusetts: Jones and
Bartlett Publishers.
Deitel, H. M., and P. J. Deitel. 2005. C++ How to Program, 5th ed. Englewood Cliffs, New
Jersey: Prentice-Hall, Incorporated.
Friedman, Frank L., and Elliot B. Koffman. 2003. Problem Solving, Abstraction, and Design
Using C++, 4th edition. Reading, Massachusetts: Addison Wesley Longman, Incorporated.
Course Outline:
1. Chapter 1 – Overview – the importance of efficient algorithms.
2. Chapter 2 – Getting started with basic analysis of insertion sort and selection sort.
3. Chapter 3 – Growth of functions.
4. Chapters 6-8 – Sorting: heapsort, Shell sort, bubble sort, quicksort, sorting in linear time.
5. Chapters 10-12 – Basic data structures: stacks, queues, linked lists, hash tables, binary search
trees (omit 11.5 and 12.4).
6. Chapters 22-23 – Definitions pertinent to graphs, basic graph algorithms and their practical
importance.
7. If time permits, a peek into chapter 34.
Grading Administration:
Assignments
Midterm examination (9 March)
Final examination (27 April)
Participation
30%
30%
35%
5%
Statement from Office of the Provost on academic ethics. Specifically, this class runs under the
honor code governing all College of Engineering classes.